Netflix, the world's leading entertainment service, is seeking a Staff Software Engineer to join their Machine Learning Platform team. This role focuses on building cutting-edge data and feature infrastructure to power ML models across various domains including personalized recommendations, payments, games, ads, and more. The position offers an opportunity to work on next-generation ML data and feature platforms that will significantly improve ML practitioners' productivity.
The role involves building sophisticated systems for feature computation, storage, and serving, supporting both high-throughput training and low-latency member-scale inference use cases. You'll be instrumental in developing a centralized feature and embedding store to enable sharing across ML domains, fostering innovation through ML in new business areas.
Working closely with ML practitioners and domain experts, you'll ensure models are built with high-quality features and labels. The position offers competitive compensation ($100,000 - $720,000) with flexibility to choose between salary and stock options. Netflix provides comprehensive benefits including health plans, mental health support, 401(k) with employer match, and flexible time off.
This is an excellent opportunity for experienced engineers passionate about ML infrastructure who want to make a significant impact at scale. The role combines technical expertise with strategic thinking, as you'll be building systems that enable Netflix's ML capabilities across multiple business domains.